OpenSearch/docs/reference/transform/index.asciidoc

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[role="xpack"]
[[ml-dataframes]]
= Transforming data
[partintro]
--
{transforms-cap} enable you to convert existing {es} indices into summarized
indices, which provide opportunities for new insights and analytics. For example,
you can use {transforms} to pivot your data into entity-centric indices that
summarize the behavior of users or sessions or other entities in your data.
* <<ml-transform-overview>>
* <<ml-transforms-usage>>
* <<df-api-quickref>>
* <<dataframe-examples>>
* <<dataframe-troubleshooting>>
* <<dataframe-limitations>>
--
include::overview.asciidoc[]
include::usage.asciidoc[]
include::checkpoints.asciidoc[]
include::api-quickref.asciidoc[]
include::dataframe-examples.asciidoc[]
include::troubleshooting.asciidoc[]
include::limitations.asciidoc[]